Table A.1: Use of funds by frequency of ROSCA meetings in 9 research sites (Note multiple answers are allowed per respondent)

Size: px
Start display at page:

Download "Table A.1: Use of funds by frequency of ROSCA meetings in 9 research sites (Note multiple answers are allowed per respondent)"

Transcription

1 Appendix Table A.1: Use of funds by frequency of ROSCA meetings in 9 research sites (Note multiple answers are allowed per respondent) Daily Weekly Every 2 weeks Monthly Every 3 months Every 6 months Total Business investment Investment in agriculture Investment in livestock Investment in aquaculture Durable goods (TV, VCR, Motorbike) Food Education Debt payments Saving Clothes, shoes, household items Wedding / funeral Medical expenses Fixing / buying houses Buying land Tax payments

2 Table A.2: Variable definitions Variable name Description Age Age of the subject Gender Gender of the subject, 1=male Education Number of years the subject attended school Number of other subjects the subject knows by name divided by the total Acquaintance ratio number of subjects in the session Farm/livestock Subject's main occupation is farming or raising livestock Fishery Subject's main occupation is fishing Trade Subject's main occupation is trading Business The subject is engaged in household business Government officer The subject works for a local government Relative income Subject's household income divided by the mean household income of the village Mean village income Mean household income of the village (million dong) Gini coefficient Gini coefficient of the income among 25 households surveyed in 2002 Distance to market Distance to the nearest local market (km) (Table 6) ROSCA 1=the member of ROSCA, 0=otherwise ROSCA*Bidding 1=the member of Bidding ROSCA, 0=otherwise (Table 7) Dummy (Field) 1= field experiment (non-student subjects) Dummy (South) 1= field experiment in the South (non-student subjects) (Table 8) Trusted agent The subject is a trusted agent of delayed delivery of money Log (savings) Logged savings. Savings is measured as the total value of savings in cash, gold and savings accounts. Exp/income ratio Household expenditure divided by household income per year (Table 9) Relative order The order of receipt of funds divided by the total number of meetings Weekly ROSCA The subject participates in weekly ROSCA Monthly ROSCA The subject participates in monthly ROSCA (Table 10) Oversea remittance Whether the subject is receiving remittance from overseas, 1=Yes Number of officers Number of local government officers in the session Receiver M 1=Player 2 is in Group M Receiver L 1=Player 2 is in Group L (Table 11) Group M 1=Player 2 is in Group M M*Mean village income The cross effect of Mean village income and Player 2 being in Group M Group L 1=Player 2 is in Group L L*Mean village income The cross effect of Mean village income and Player 2 being in Group L

3 Table A.3: Switching point (question) and approximations of σ (parameter for the curvature of power value function) and α (probability sensitivity parameter in Prelec s weighting function), Full table σ Switching question in Series 1 Series Never Never α Switching question in Series 1 Series Never Never σ and α are approximated to the nearest.05 increments. When subjects do not switch, the approximate values at the boundaries were used.

4 Table A.4 : Switching point and range of relative risk aversion under EU Series 1 (Question 1-14) Series 2 (Question 15-28) Switching question Relative risk aversion Relative risk aversion Switching question (r) (r) 1 r < r < < r < < r < < r < < r < < r < < r < < r < < r < < r < < r < < r < < r < < r < < r < < r < < r < < r < < r < < r < < r < < r < < r < < r < < r < < r < < r < 1.19 Never.74 < r Never 1.19 < r

5 Table A.5: Determinants of risk aversion (Data with interior switching points only) α (Weighting function) σ (Value function) Age * Gender (1=male) -.088* Education *** Farm/livestock Fishery *** Trade Business Government officer.110 *.032 Relative income Mean village income -.005* -.007** Distance to market * ROSCA ** ROSCA*Bidding ** South Constant.942 *** *** Observations R Note: * Significant at the 10% level. ** Significant at the 5% level. *** Significant at the 1% level. We estimated α and σ by OLS with robust standard errors. 26 subjects who did not have an interior switching point (so α and σ values can only be bounded), are excluded to test for robustness.

6 Table A.6: Determinants of risk aversion by region α (Weighting function) σ (Value function) λ (Loss aversion) South North South North South North Age -.006* * Gender (1=male) * Education * -.020*.329**.064 Farm/livestock Fishery **.206*.270* Trade Business Government officer Relative income Mean village income ** Distance to market ** -.033* ROSCA Constant *** ***.816*** Observations R We estimated α and σ by OLS with robust standard errors, and λ by interval regressions with robust standard errors. Note: * Significant at the 10% level. ** Significant at the 5% level. *** Significant at the 1% level.

7 Table A.7: Pairwise time discounting choices Option A Option B 1-1 Receive 120,000 dong in 1 week Receive 20,000 dong today 1-2 Receive 120,000 dong in 1 week Receive 40,000 dong today 1-3 Receive 120,000 dong in 1 week Receive 60,000 dong today 1-4 Receive 120,000 dong in 1 week Receive 80,000 dong today 1-5 Receive 120,000 dong in 1 week Receive 100,000 dong today 2-1 Receive 120,000 dong in 1 month Receive 20,000 dong today 2-2 Receive 120,000 dong in 1 month Receive 40,000 dong today 2-3 Receive 120,000 dong in 1 month Receive 60,000 dong today 2-4 Receive 120,000 dong in 1 month Receive 80,000 dong today 2-5 Receive 120,000 dong in 1 month Receive 100,000 dong today 3-1 Receive 120,000 dong in 3 months Receive 20,000 dong today 3-2 Receive 120,000 dong in 3 months Receive 40,000 dong today 3-3 Receive 120,000 dong in 3 months Receive 60,000 dong today 3-4 Receive 120,000 dong in 3 months Receive 80,000 dong today 3-5 Receive 120,000 dong in 3 months Receive 100,000 dong today 4-1 Receive 300,000 dong in 1 week Receive 50,000 dong today 4-2 Receive 300,000 dong in 1 week Receive 100,000 dong today 4-3 Receive 300,000 dong in 1 week Receive 150,000 dong today 4-4 Receive 300,000 dong in 1 week Receive 200,000 dong today 4-5 Receive 300,000 dong in 1 week Receive 250,000 dong today 5-1 Receive 300,000 dong in 1 month Receive 50,000 dong today 5-2 Receive 300,000 dong in 1 month Receive 100,000 dong today 5-3 Receive 300,000 dong in 1 month Receive 150,000 dong today 5-4 Receive 300,000 dong in 1 month Receive 200,000 dong today 5-5 Receive 300,000 dong in 1 month Receive 250,000 dong today 6-1 Receive 300,000 dong in 3 months Receive 50,000 dong today 6-2 Receive 300,000 dong in 3 months Receive 100,000 dong today 6-3 Receive 300,000 dong in 3 months Receive 150,000 dong today 6-4 Receive 300,000 dong in 3 months Receive 200,000 dong today 6-5 Receive 300,000 dong in 3 months Receive 250,000 dong today 7-1 Receive 30,000 dong in 1 week Receive 5,000 dong today 7-2 Receive 30,000 dong in 1 week Receive 10,000 dong today 7-3 Receive 30,000 dong in 1 week Receive 15,000 dong today 7-4 Receive 30,000 dong in 1 week Receive 20,000 dong today 7-5 Receive 30,000 dong in 1 week Receive 25,000 dong today 8-1 Receive 30,000 dong in 1 month Receive 5,000 dong today 8-2 Receive 30,000 dong in 1 month Receive 10,000 dong today 8-3 Receive 30,000 dong in 1 month Receive 15,000 dong today 8-4 Receive 30,000 dong in 1 month Receive 20,000 dong today 8-5 Receive 30,000 dong in 1 month Receive 25,000 dong today

8 (Continued) Option A Option B 9-1 Receive 30,000 dong in 3 months Receive 5,000 dong today 9-2 Receive 30,000 dong in 3 months Receive 10,000 dong today 9-3 Receive 30,000 dong in 3 months Receive 15,000 dong today 9-4 Receive 30,000 dong in 3 months Receive 20,000 dong today 9-5 Receive 30,000 dong in 3 months Receive 25,000 dong today 10-1 Receive 240,000 dong in 3 days Receive 40,000 dong today 10-2 Receive 240,000 dong in 3 days Receive 80,000 dong today 10-3 Receive 240,000 dong in 3 days Receive 120,000 dong today 10-4 Receive 240,000 dong in 3 days Receive 160,000 dong today 10-5 Receive 240,000 dong in 3 days Receive 200,000 dong today 11-1 Receive 240,000 dong in 2 weeks Receive 40,000 dong today 11-2 Receive 240,000 dong in 2 weeks Receive 80,000 dong today 11-3 Receive 240,000 dong in 2 weeks Receive 120,000 dong today 11-4 Receive 240,000 dong in 2 weeks Receive 160,000 dong today 11-5 Receive 240,000 dong in 2 weeks Receive 200,000 dong today 12-1 Receive 240,000 dong in 2 months Receive 40,000 dong today 12-2 Receive 240,000 dong in 2 months Receive 80,000 dong today 12-3 Receive 240,000 dong in 2 months Receive 120,000 dong today 12-4 Receive 240,000 dong in 2 months Receive 160,000 dong today 12-5 Receive 240,000 dong in 2 months Receive 200,000 dong today 13-1 Receive 60,000 dong in 3 days Receive 10,000 dong today 13-2 Receive 60,000 dong in 3 days Receive 20,000 dong today 13-3 Receive 60,000 dong in 3 days Receive 30,000 dong today 13-4 Receive 60,000 dong in 3 days Receive 40,000 dong today 13-5 Receive 60,000 dong in 3 days Receive 50,000 dong today 14-1 Receive 60,000 dong in 2 weeks Receive 10,000 dong today 14-2 Receive 60,000 dong in 2 weeks Receive 20,000 dong today 14-3 Receive 60,000 dong in 2 weeks Receive 30,000 dong today 14-4 Receive 60,000 dong in 2 weeks Receive 40,000 dong today 14-5 Receive 60,000 dong in 2 weeks Receive 50,000 dong today 15-1 Receive 60,000 dong in 2 months Receive 10,000 dong today 15-2 Receive 60,000 dong in 2 months Receive 20,000 dong today 15-3 Receive 60,000 dong in 2 months Receive 30,000 dong today 15-4 Receive 60,000 dong in 2 months Receive 40,000 dong today 15-5 Receive 60,000 dong in 2 months Receive 50,000 dong today

9 Table A.8: Determinants of Present Bias and discount rates (Data include inconsistent choices) Equation (1) + Demographic variables for r Equation (1) + Demographic variables for β r (Discount rate) β (Present bias).907 ***.726 ** θ *** *** Age Gender (1=male) -.158*.054 Education Acquaintance ratio Trusted agent Farm/livestock Fishery -.189***.063 Trade Business Government officer -.110** Relative income.106 **.002 Mean village income -.008**.007 * Distance to market ROSCA -.212**.132 ROSCA*Bidding.321 * -.207* Log (savings) Exp/income ratio South Observations R Note: * Significant at the 10% level. ** Significant at the 5% level. *** Significant at the 1% level. We conducted robust regressions, and adjusted standard errors for correlations within individuals. 3 subjects who completely randomized their answers are excluded from the estimations.

10 Table A.9: Determinants of Present Bias and discount rates by region (Nonlinear regressions) Equation (1) + Demographic variables for r Equation (1) + Demographic variables for β South North South North r (Discount rate).385 * * β (Present bias).883 ***.905 *** θ *** *** *** *** Age -.006** ** Gender (1=male) * Education Acquaintance ratio Trusted agent Farm/livestock -.019* Fishery ** Trade * Business.134 ** *.013 Government officer Relative income -.081** Mean village income * Distance to market ROSCA ** Log (savings) Exp/income ratio Observations R Note: * Significant at the 10% level. ** Significant at the 5% level. *** Significant at the 1% level. We conducted robust regressions, and adjusted standard errors for correlations within individuals. For the South, 312 data points with inconsistent answers are excluded from the estimations. There is no inconsistent answer in the north because research assistants suggested subjects to reconsider their choices when they found inconsistent choices.

11 Figure A.1: Mean village income and Gini Coefficients of surveyed villages mil dong 60 Mean income by village S1, S2 N South S3 S4 S5 North N2 N3 N Gini coefficient by village S1 S5 S4 S3 S2 South N2 N4 N1 N3 North

12 Figure A.2: Research sites Village S1 Village S2 Village S3 Village S4 Village S5

13 Village N1 Village N2 Village N3 Village N4

14 Figure A.3: Amount contributed and received by ROSCA participant Daily bidding ROSCA (10,000 dong 91 days) Amount contributed/received 1,000,000 Amount contributed Amount received Winning Bid Winning Bid 4, , , , ,000 3,000 2,000 1, st receiver 0 Last receiver Daily bidding ROSCA (20,000 dong 61 days) Amount contributed/received 1,400,000 1,200,000 1,000, , , , ,000 0 Amount contributed Amount received Winning Bid Winning Bid 7,000 6,000 5,000 4,000 3,000 2,000 1,000 0

15 Weekly bidding ROSCA (300,000 dong 18 weeks) Amount contributed /received 6,000,000 5,000,000 4,000,000 3,000,000 2,000,000 1,000,000 0 Amount contributed Amount received Winning Bid Winning Bid 70,000 60,000 50,000 40,000 30,000 20,000 10,000 0 Monthly bidding ROSCA (1,000,000 dong 17 months) Amount contributed /received 18,000,000 16,000,000 14,000,000 12,000,000 10,000,000 8,000,000 6,000,000 4,000,000 2,000,000 0 Amount contributed Amount received Winning Bid Winning Bid 300, , , , ,000 50,000 0 Monthly bidding ROSCA (2,000,000 dong 19 months) Amount contributed /received 40,000,000 35,000,000 30,000,000 25,000,000 20,000,000 15,000,000 10,000,000 5,000,000 0 Amount contributed Amount received Winning Bid Winning Bid 400, , , , , , ,000 50,000 0

16 Figure A.4: Procedures of trust game (Pictures taken in Village S4) (1) An experimenter reads the instruction. (2) Subjects solve quiz. Illiterate subjects are helped by research assistants.

17 (3) After solving the quiz, subjects go out of the room and draw numbered balls from a bingo cage, which determines their roles (Player 1 or Player 2). Then, they receive instructions and record sheets. (4) Subjects are helped by research assistants when making decisions.

18 Figure A.5: Cumulative distribution of amount set by Player 1 by session (by group of receiver) Student Subjects SS1 SS2 Receiver: Group A Receiver: Group C Receiver: Group B Receiver: Group A Receiver: Group C Receiver: Group B SN1 Receiver: Group A Receiver: Group C Receiver: Group B

19 South S1 S2 Receiver: Group H Receiver: Group L Receiver: Group M Receiver: Group H Receiver: Group L Receiver: Group M S3 S4 Receiver: Group H Receiver: Group L Receiver: Group M Receiver: Group H Receiver: Group L Receiver: Group M S5 Receiver: Group H Receiver: Group L Receiver: Group M

20 North N1 N2 Receiver: Group H Receiver: Group L Receiver: Group M Receiver: Group H Receiver: Group L Receiver: Group M N3 N4 Receiver: Group H Receiver: Group L Receiver: Group M Receiver: Group H Receiver: Group L Receiver: Group M

Appendix A. Table A.1: Logit Estimates for Elasticities

Appendix A. Table A.1: Logit Estimates for Elasticities Estimates from historical sales data Appendix A Table A.1. reports the estimates from the discrete choice model for the historical sales data. Table A.1: Logit Estimates for Elasticities Dependent Variable:

More information

Online Appendix for. To Buy or Not to Buy: Consumer Constraints in the Housing Market

Online Appendix for. To Buy or Not to Buy: Consumer Constraints in the Housing Market Online Appendix for To Buy or Not to Buy: Consumer Constraints in the Housing Market By Andreas Fuster and Basit Zafar, Federal Reserve Bank of New York 1. Main Survey Questions Highlighted parts correspond

More information

Internet Appendix for CEO Personal Risk-taking and Corporate Policies TABLE IA.1 Pilot CEOs and Firm Risk (Controlling for High Performance Pay)

Internet Appendix for CEO Personal Risk-taking and Corporate Policies TABLE IA.1 Pilot CEOs and Firm Risk (Controlling for High Performance Pay) TABLE IA.1 Pilot CEOs and Firm Risk (Controlling for High Performance Pay) OLS regressions with annualized standard deviation of firm-level monthly stock returns as the dependent variable. A constant is

More information

Ex-Ante Analysis of the Demand for new value added pulse products: A

Ex-Ante Analysis of the Demand for new value added pulse products: A Ex-Ante Analysis of the Demand for new value added pulse products: A case of Precooked Beans in Uganda Paul Aseete, Enid Katungi, Jackie Bonabana, Michael Ugen and Eliud Birachi Background Common bean

More information

The premium for organic wines

The premium for organic wines Enometrics XV Collioure May 29-31, 2008 Estimating a hedonic price equation from the producer side Points of interest: - assessing whether there is a premium for organic wines, and which one - estimating

More information

DETERMINANTS OF GROWTH

DETERMINANTS OF GROWTH POLICY OPTIONS AND CHALLENGES FOR DEVELOPING ASIA PERSPECTIVES FROM THE IMF AND ASIA APRIL 19-20, 2007 TOKYO DETERMINANTS OF GROWTH IN LOW-INCOME ASIA ARI AISEN INTERNATIONAL MONETARY FUND Paper presented

More information

Power and Priorities: Gender, Caste, and Household Bargaining in India

Power and Priorities: Gender, Caste, and Household Bargaining in India Power and Priorities: Gender, Caste, and Household Bargaining in India Nancy Luke Associate Professor Department of Sociology and Population Studies and Training Center Brown University Nancy_Luke@brown.edu

More information

Gender and Firm-size: Evidence from Africa

Gender and Firm-size: Evidence from Africa World Bank From the SelectedWorks of Mohammad Amin March, 2010 Gender and Firm-size: Evidence from Africa Mohammad Amin Available at: https://works.bepress.com/mohammad_amin/20/ Gender and Firm size: Evidence

More information

Volume 30, Issue 1. Gender and firm-size: Evidence from Africa

Volume 30, Issue 1. Gender and firm-size: Evidence from Africa Volume 30, Issue 1 Gender and firm-size: Evidence from Africa Mohammad Amin World Bank Abstract A number of studies show that relative to male owned businesses, female owned businesses are smaller in size.

More information

Dietary Diversity in Urban and Rural China: An Endogenous Variety Approach

Dietary Diversity in Urban and Rural China: An Endogenous Variety Approach Dietary Diversity in Urban and Rural China: An Endogenous Variety Approach Jing Liu September 6, 2011 Road Map What is endogenous variety? Why is it? A structural framework illustrating this idea An application

More information

AJAE Appendix: Testing Household-Specific Explanations for the Inverse Productivity Relationship

AJAE Appendix: Testing Household-Specific Explanations for the Inverse Productivity Relationship AJAE Appendix: Testing Household-Specific Explanations for the Inverse Productivity Relationship Juliano Assunção Department of Economics PUC-Rio Luis H. B. Braido Graduate School of Economics Getulio

More information

Multiple Imputation for Missing Data in KLoSA

Multiple Imputation for Missing Data in KLoSA Multiple Imputation for Missing Data in KLoSA Juwon Song Korea University and UCLA Contents 1. Missing Data and Missing Data Mechanisms 2. Imputation 3. Missing Data and Multiple Imputation in Baseline

More information

Labor Supply of Married Couples in the Formal and Informal Sectors in Thailand

Labor Supply of Married Couples in the Formal and Informal Sectors in Thailand Southeast Asian Journal of Economics 2(2), December 2014: 77-102 Labor Supply of Married Couples in the Formal and Informal Sectors in Thailand Chairat Aemkulwat 1 Faculty of Economics, Chulalongkorn University

More information

Heat stress increases long-term human migration in rural Pakistan

Heat stress increases long-term human migration in rural Pakistan Supplementary Methods: SUPPLEMENTARY INFORMATION DOI: 10.1038/NCLIMATE2103 Heat stress increases long-term human migration in rural Pakistan Our sample includes the households surveyed by the International

More information

Pitfalls for the Construction of a Welfare Indicator: An Experimental Analysis of the Better Life Index

Pitfalls for the Construction of a Welfare Indicator: An Experimental Analysis of the Better Life Index Clemens Hetschko, Louisa von Reumont & Ronnie Schöb Pitfalls for the Construction of a Welfare Indicator: An Experimental Analysis of the Better Life Index University Alliance of Sustainability Spring

More information

This appendix tabulates results summarized in Section IV of our paper, and also reports the results of additional tests.

This appendix tabulates results summarized in Section IV of our paper, and also reports the results of additional tests. Internet Appendix for Mutual Fund Trading Pressure: Firm-level Stock Price Impact and Timing of SEOs, by Mozaffar Khan, Leonid Kogan and George Serafeim. * This appendix tabulates results summarized in

More information

Coffee Price Volatility and Intra-household Labour Supply: Evidence from Vietnam

Coffee Price Volatility and Intra-household Labour Supply: Evidence from Vietnam Coffee Price Volatility and Intra-household Labour Supply: Evidence from Vietnam Ulrik Beck U. Copenhagen Saurabh Singhal UNU-WIDER Finn Tarp UNU-WIDER June, 2016 Introduction Volatility in commodity markets

More information

Panel A: Treated firm matched to one control firm. t + 1 t + 2 t + 3 Total CFO Compensation 5.03% 0.84% 10.27% [0.384] [0.892] [0.

Panel A: Treated firm matched to one control firm. t + 1 t + 2 t + 3 Total CFO Compensation 5.03% 0.84% 10.27% [0.384] [0.892] [0. Online Appendix 1 Table O1: Determinants of CMO Compensation: Selection based on both number of other firms in industry that have CMOs and number of other firms in industry with MBA educated executives

More information

Online Appendix to The Effect of Liquidity on Governance

Online Appendix to The Effect of Liquidity on Governance Online Appendix to The Effect of Liquidity on Governance Table OA1: Conditional correlations of liquidity for the subsample of firms targeted by hedge funds This table reports Pearson and Spearman correlations

More information

Internet Appendix to. The Price of Street Friends: Social Networks, Informed Trading, and Shareholder Costs. Jie Cai Ralph A.

Internet Appendix to. The Price of Street Friends: Social Networks, Informed Trading, and Shareholder Costs. Jie Cai Ralph A. Internet Appendix to The Price of Street Friends: Social Networks, Informed Trading, and Shareholder Costs Jie Cai Ralph A. Walkling Ke Yang October 2014 1 A11. Controlling for s Logically Associated with

More information

Measuring economic value of whale conservation

Measuring economic value of whale conservation Measuring economic value of whale conservation Comparison between Australia and Japan Miho Wakamatsu, Kong Joo Shin, and Shunsuke Managi Urban Institute and Dept. of Urban & Env. Engineering, School of

More information

Appendix Table A1 Number of years since deregulation

Appendix Table A1 Number of years since deregulation Appendix Table A1 Number of years since deregulation This table presents the results of -in-s models incorporating the number of years since deregulation and using data for s with trade flows are above

More information

Gail E. Potter, Timo Smieszek, and Kerstin Sailer. April 24, 2015

Gail E. Potter, Timo Smieszek, and Kerstin Sailer. April 24, 2015 Supplementary Material to Modelling workplace contact networks: the effects of organizational structure, architecture, and reporting errors on epidemic predictions, published in Network Science Gail E.

More information

Zeitschrift für Soziologie, Jg., Heft 5, 2015, Online- Anhang

Zeitschrift für Soziologie, Jg., Heft 5, 2015, Online- Anhang I Are Joiners Trusters? A Panel Analysis of Participation and Generalized Trust Online Appendix Katrin Botzen University of Bern, Institute of Sociology, Fabrikstrasse 8, 3012 Bern, Switzerland; katrin.botzen@soz.unibe.ch

More information

An application of cumulative prospect theory to travel time variability

An application of cumulative prospect theory to travel time variability Katrine Hjorth (DTU) Stefan Flügel, Farideh Ramjerdi (TØI) An application of cumulative prospect theory to travel time variability Sixth workshop on discrete choice models at EPFL August 19-21, 2010 Page

More information

This is a repository copy of Poverty and Participation in Twenty-First Century Multicultural Britain.

This is a repository copy of Poverty and Participation in Twenty-First Century Multicultural Britain. This is a repository copy of Poverty and Participation in Twenty-First Century Multicultural Britain. White Rose Research Online URL for this paper: http://eprints.whiterose.ac.uk/105597/ Version: Supplemental

More information

Preferred citation style

Preferred citation style Preferred citation style Axhausen, K.W. (2016) How many cars are too many? A second attempt, distinguished transport lecture at the University of Hong Kong, Hong Kong, October 2016.. How many cars are

More information

Flexible Working Arrangements, Collaboration, ICT and Innovation

Flexible Working Arrangements, Collaboration, ICT and Innovation Flexible Working Arrangements, Collaboration, ICT and Innovation A Panel Data Analysis Cristian Rotaru and Franklin Soriano Analytical Services Unit Economic Measurement Group (EMG) Workshop, Sydney 28-29

More information

Citrus Attributes: Do Consumers Really Care Only About Seeds? Lisa A. House 1 and Zhifeng Gao

Citrus Attributes: Do Consumers Really Care Only About Seeds? Lisa A. House 1 and Zhifeng Gao Citrus Attributes: Do Consumers Really Care Only About Seeds? Lisa A. House 1 and Zhifeng Gao Selected Paper prepared for presentation at the Agricultural and Applied Economics Association Annual Meeting,

More information

Appendix A. Table A1: Marginal effects and elasticities on the export probability

Appendix A. Table A1: Marginal effects and elasticities on the export probability Appendix A Table A1: Marginal effects and elasticities on the export probability Variable PROP [1] PROP [2] PROP [3] PROP [4] Export Probability 0.207 0.148 0.206 0.141 Marg. Eff. Elasticity Marg. Eff.

More information

Buying Filberts On a Sample Basis

Buying Filberts On a Sample Basis E 55 m ^7q Buying Filberts On a Sample Basis Special Report 279 September 1969 Cooperative Extension Service c, 789/0 ite IP") 0, i mi 1910 S R e, `g,,ttsoliktill:torvti EARs srin ITQ, E,6

More information

wine 1 wine 2 wine 3 person person person person person

wine 1 wine 2 wine 3 person person person person person 1. A trendy wine bar set up an experiment to evaluate the quality of 3 different wines. Five fine connoisseurs of wine were asked to taste each of the wine and give it a rating between 0 and 10. The order

More information

A Web Survey Analysis of the Subjective Well-being of Spanish Workers

A Web Survey Analysis of the Subjective Well-being of Spanish Workers A Web Survey Analysis of the Subjective Well-being of Spanish Workers Martin Guzi Masaryk University Pablo de Pedraza Universidad de Salamanca APPLIED ECONOMICS MEETING 2014 Frey and Stutzer (2010) state

More information

Consumer Responses to Food Products Produced Near the Fukushima Nuclear Plant

Consumer Responses to Food Products Produced Near the Fukushima Nuclear Plant Consumer Responses to Food Products Produced Near the Fukushima Nuclear Plant Kentaka Aruga Faculty of Bioproduction Science Ishikawa Prefectural University e-mail: kentaka.aruga@gmail.com Contents of

More information

Imputation of multivariate continuous data with non-ignorable missingness

Imputation of multivariate continuous data with non-ignorable missingness Imputation of multivariate continuous data with non-ignorable missingness Thais Paiva Jerry Reiter Department of Statistical Science Duke University NCRN Meeting Spring 2014 May 23, 2014 Thais Paiva, Jerry

More information

Online Appendix for. Inattention and Inertia in Household Finance: Evidence from the Danish Mortgage Market,

Online Appendix for. Inattention and Inertia in Household Finance: Evidence from the Danish Mortgage Market, Online Appendix for Inattention and Inertia in Household Finance: Evidence from the Danish Mortgage Market, Steffen Andersen, John Y. Campbell, Kasper Meisner Nielsen, and Tarun Ramadorai. 1 A. Institutional

More information

ARE THERE SKILLS PAYOFFS IN LOW AND MIDDLE-INCOME COUNTRIES?

ARE THERE SKILLS PAYOFFS IN LOW AND MIDDLE-INCOME COUNTRIES? ARE THERE SKILLS PAYOFFS IN LOW AND MIDDLE-INCOME COUNTRIES? Namrata Tognatta SKILLS GSG SEMINARS WEEK Earnings Returns to Schooling and Skills December 7, 2015 Outline Motivation and Research Questions

More information

Religion and Innovation

Religion and Innovation Religion and Innovation Roland Bénabou Davide Ticchi Andrea Vindigni Princeton University IMT Lucca IMT Lucca & NBER & CIFAR Collegio Carlo Alberto American Economic Review P&P (2015) Introduction Economics

More information

Missing value imputation in SAS: an intro to Proc MI and MIANALYZE

Missing value imputation in SAS: an intro to Proc MI and MIANALYZE Victoria SAS Users Group November 26, 2013 Missing value imputation in SAS: an intro to Proc MI and MIANALYZE Sylvain Tremblay SAS Canada Education Copyright 2010 SAS Institute Inc. All rights reserved.

More information

Online Appendix to. Are Two heads Better Than One: Team versus Individual Play in Signaling Games. David C. Cooper and John H.

Online Appendix to. Are Two heads Better Than One: Team versus Individual Play in Signaling Games. David C. Cooper and John H. Online Appendix to Are Two heads Better Than One: Team versus Individual Play in Signaling Games David C. Cooper and John H. Kagel This appendix contains a discussion of the robustness of the regression

More information

Tim Woods Lia Nogueira Shang Ho Yang Xueting Deng WERA 72 Meetings 2014

Tim Woods Lia Nogueira Shang Ho Yang Xueting Deng WERA 72 Meetings 2014 Local Wine Expenditure Determinants in the Northern Appalachian States Tim Woods Lia Nogueira Shang Ho Yang Xueting Deng WERA 72 Meetings 2014 Motivation Expansion of wineries in the Northern Appalachian

More information

ASSESSING THE HEALTHFULNESS OF FOOD PURCHASES AMONG LOW-INCOME AREA SHOPPERS IN THE NORTHEAST

ASSESSING THE HEALTHFULNESS OF FOOD PURCHASES AMONG LOW-INCOME AREA SHOPPERS IN THE NORTHEAST ASSESSING THE HEALTHFULNESS OF FOOD PURCHASES AMONG LOW-INCOME AREA SHOPPERS IN THE NORTHEAST ALESSANDRO BONANNO 1,2 *LAUREN CHENARIDES 2 RYAN LEE 3 1 Wageningen University, Netherlands 2 Penn State University

More information

BORDEAUX WINE VINTAGE QUALITY AND THE WEATHER ECONOMETRIC ANALYSIS

BORDEAUX WINE VINTAGE QUALITY AND THE WEATHER ECONOMETRIC ANALYSIS BORDEAUX WINE VINTAGE QUALITY AND THE WEATHER ECONOMETRIC ANALYSIS WINE PRICES OVER VINTAGES DATA The data sheet contains market prices for a collection of 13 high quality Bordeaux wines (not including

More information

Decision making with incomplete information Some new developments. Rudolf Vetschera University of Vienna. Tamkang University May 15, 2017

Decision making with incomplete information Some new developments. Rudolf Vetschera University of Vienna. Tamkang University May 15, 2017 Decision making with incomplete information Some new developments Rudolf Vetschera University of Vienna Tamkang University May 15, 2017 Agenda Problem description Overview of methods Single parameter approaches

More information

Fiscal Reaction Functions of Different Euro Area Countries

Fiscal Reaction Functions of Different Euro Area Countries Fiscal Reaction Functions of Different Euro Area Countries Klaus Weyerstrass 56th SIE Annual Conference, Naples, 22-24 October 2015 Introduction sustainability of public finances Fiscal reaction functions

More information

What are the Driving Forces for Arts and Culture Related Activities in Japan?

What are the Driving Forces for Arts and Culture Related Activities in Japan? What are the Driving Forces for Arts and Culture Related Activities in Japan? Masahiro ARIMA Graduate School of Applied Informatics, University of Hyogo Abstract Purpose of this paper is to grasp the demand

More information

The Inclusiveness of Africa s Recent High- Growth Episode: Evidence from Six Countries

The Inclusiveness of Africa s Recent High- Growth Episode: Evidence from Six Countries The Inclusiveness of Africa s Recent High- Growth Episode: Evidence from Six Countries Rodrigo Garcia-Verdu, Abebe Aemro Selassie, and Alun Thomas African Department International Monetary Fund 2012 Economic

More information

Missing Data Treatments

Missing Data Treatments Missing Data Treatments Lindsey Perry EDU7312: Spring 2012 Presentation Outline Types of Missing Data Listwise Deletion Pairwise Deletion Single Imputation Methods Mean Imputation Hot Deck Imputation Multiple

More information

Savings Products for Tea Smallholders

Savings Products for Tea Smallholders Agri-Finance Marketplace Savings Products for Tea Smallholders 24 th November 2011 Felix Meier zu Selhausen Nelson Basaija Slide 1/21 Agenda 1. Mpanga Tea Growers 2. The Financial Survey 3. Recommendations

More information

MBA 503 Final Project Guidelines and Rubric

MBA 503 Final Project Guidelines and Rubric MBA 503 Final Project Guidelines and Rubric Overview There are two summative assessments for this course. For your first assessment, you will be objectively assessed by your completion of a series of MyAccountingLab

More information

Comparative Analysis of Fresh and Dried Fish Consumption in Ondo State, Nigeria

Comparative Analysis of Fresh and Dried Fish Consumption in Ondo State, Nigeria Comparative Analysis of Fresh and Dried Fish Consumption in Ondo State, Nigeria Mafimisebi, T.E. (Ph.D) Department of Agricultural Business Management School of Agriculture & Natural Resources Mulungushi

More information

Trade Facilitation and Supply Chain Security:

Trade Facilitation and Supply Chain Security: Trade Facilitation and Supply Chain Security: Evaluation of Integrated Cargo Containers Control (IC3) Program between Pakistan and the United States WCO-PICARD Conference 27-29 September 2016 Presenter:

More information

The age of reproduction The effect of university tuition fees on enrolment in Quebec and Ontario,

The age of reproduction The effect of university tuition fees on enrolment in Quebec and Ontario, The age of reproduction The effect of university tuition fees on enrolment in Quebec and Ontario, 1946 2011 Benoît Laplante, Centre UCS de l INRS Pierre Doray, CIRST-UQAM Nicolas Bastien, CIRST-UQAM Research

More information

Investment Wines. - Risk Analysis. Prepared by: Michael Shortell & Adiam Woldetensae Date: 06/09/2015

Investment Wines. - Risk Analysis. Prepared by: Michael Shortell & Adiam Woldetensae Date: 06/09/2015 Investment Wines - Risk Analysis Prepared by: Michael Shortell & Adiam Woldetensae Date: 06/09/2015 Purpose Look at investment wines & examine factors that affect wine prices over time We will identify

More information

Valuation in the Life Settlements Market

Valuation in the Life Settlements Market Valuation in the Life Settlements Market New Empirical Evidence Jiahua (Java) Xu 1 1 Institute of Insurance Economics University of St.Gallen Western Risk and Insurance Association 2018 Annual Meeting

More information

Lack of Credibility, Inflation Persistence and Disinflation in Colombia

Lack of Credibility, Inflation Persistence and Disinflation in Colombia Lack of Credibility, Inflation Persistence and Disinflation in Colombia Second Monetary Policy Workshop, Lima Andrés González G. and Franz Hamann Banco de la República http://www.banrep.gov.co Banco de

More information

The Effects of Presidential Politics on CEO Compensation

The Effects of Presidential Politics on CEO Compensation The Effects of Presidential Politics on CEO Compensation Humnath Panta, Ph.D. Assistant Professor and Finance Program Director Brenau University, Gainesville, GA 30501 Salil K. Sarkar, Ph.D., CFA Coordinator,

More information

Final Exam Financial Data Analysis (6 Credit points/imp Students) March 2, 2006

Final Exam Financial Data Analysis (6 Credit points/imp Students) March 2, 2006 Dr. Roland Füss Winter Term 2005/2006 Final Exam Financial Data Analysis (6 Credit points/imp Students) March 2, 2006 Note the following important information: 1. The total disposal time is 60 minutes.

More information

Putting dollar value on whaling

Putting dollar value on whaling Putting dollar value on whaling Can bargaining break deadlock in whaling conflict? Miho Wakamatsu, Kong Joo Shin, and Shunsuke Managi Urban Institute and Dept. of Urban & Env. Engineering, School of Engineering,

More information

Fair Trade and Free Entry: Can a Disequilibrium Market Serve as a Development Tool? Online Appendix September 2014

Fair Trade and Free Entry: Can a Disequilibrium Market Serve as a Development Tool? Online Appendix September 2014 Fair Trade and Free Entry: Can a Disequilibrium Market Serve as a Development Tool? 1. Data Construction Online Appendix September 2014 The data consist of the Association s records on all coffee acquisitions

More information

The impact of a continuous care intervention for treatment of type 2 diabetes on health care system utilization

The impact of a continuous care intervention for treatment of type 2 diabetes on health care system utilization The impact of a continuous care intervention for treatment of type 2 diabetes on health care system utilization Zachary Wagner, Nasir H. Bhanpuri, James P. McCarter, Neeraj Sood [Supplementary Appendix]

More information

The Financing and Growth of Firms in China and India: Evidence from Capital Markets

The Financing and Growth of Firms in China and India: Evidence from Capital Markets The Financing and Growth of Firms in China and India: Evidence from Capital Markets Tatiana Didier Sergio Schmukler Dec. 12-13, 2012 NIPFP-DEA-JIMF Conference Macro and Financial Challenges of Emerging

More information

Climate change may alter human physical activity patterns

Climate change may alter human physical activity patterns In the format provided by the authors and unedited. SUPPLEMENTARY INFORMATION VOLUME: 1 ARTICLE NUMBER: 0097 Climate change may alter human physical activity patterns Nick Obradovich and James H. Fowler

More information

Not to be published - available as an online Appendix only! 1.1 Discussion of Effects of Control Variables

Not to be published - available as an online Appendix only! 1.1 Discussion of Effects of Control Variables 1 Appendix Not to be published - available as an online Appendix only! 1.1 Discussion of Effects of Control Variables Table 1 in the main text includes a number of additional control variables. We find

More information

Analysis of Influencing Factors of Deviation of Consumer Willingness and Behavior in Popular Tea Consumption

Analysis of Influencing Factors of Deviation of Consumer Willingness and Behavior in Popular Tea Consumption Analysis of Influencing Factors of Deviation of Consumer Willingness and Behavior in Popular Tea Consumption Ping Chen 1, 2, Jiangfan Yang 1 1 College of Economic, Fujian Agriculture and Forestry University,

More information

Previous analysis of Syrah

Previous analysis of Syrah Perception and interest of French consumers for Syrah / Shiraz Introduction Plan Previous analysis on Syrah vine and on consumer behaviour for this kind of wine Methods of research Building the General

More information

Willingness to Pay Premium for Foods Produced in Taiwan and Country of Origin Labeling: Results from Auction Experiment*

Willingness to Pay Premium for Foods Produced in Taiwan and Country of Origin Labeling: Results from Auction Experiment* Willingness to Pay Premium for Foods Produced in Taiwan and Country of Origin Labeling: Results from Auction Experiment* Wen S. Chern and Chun-Yu Chang Department of Economics National Chung Cheng University

More information

The R&D-patent relationship: An industry perspective

The R&D-patent relationship: An industry perspective Université Libre de Bruxelles (ULB) Solvay Brussels School of Economics and Management (SBS-EM) European Center for Advanced Research in Economics and Statistics (ECARES) The R&D-patent relationship: An

More information

Chapter 5. On Consumption Insurance Effects of the Long-term Care Insurance in Japan: Evidence from Micro Household Data

Chapter 5. On Consumption Insurance Effects of the Long-term Care Insurance in Japan: Evidence from Micro Household Data Chapter 5 On Consumption Insurance Effects of the Long-term Care Insurance in Japan: Evidence from Micro Household Data Abstract Employing the micro household data of the Comprehensive Survey of the Living

More information

Basic parts of a friendly letter: Heading, greeting, body, closing, and signature

Basic parts of a friendly letter: Heading, greeting, body, closing, and signature Name Grading Criteria Basic parts of a friendly letter: Heading, greeting, body, closing, and signature (10 points) Ideas: 1. Why should your family give you more resources to explore the area and civilization?

More information

PROBIT AND ORDERED PROBIT ANALYSIS OF THE DEMAND FOR FRESH SWEET CORN

PROBIT AND ORDERED PROBIT ANALYSIS OF THE DEMAND FOR FRESH SWEET CORN PROBIT AND ORDERED PROBIT ANALYSIS OF THE DEMAND FOR FRESH SWEET CORN By AMANDA C. BRIGGS A THESIS PRESENTED TO THE GRADUATE SCHOOL OF THE UNIVERSITY OF FLORIDA IN PARTIAL FULFILLMENT OF THE REQUIREMENTS

More information

Online Appendix to Voluntary Disclosure and Information Asymmetry: Evidence from the 2005 Securities Offering Reform

Online Appendix to Voluntary Disclosure and Information Asymmetry: Evidence from the 2005 Securities Offering Reform Online Appendix to Voluntary Disclosure and Information Asymmetry: Evidence from the 2005 Securities Offering Reform This document contains several additional results that are untabulated but referenced

More information

Credit Supply and Monetary Policy: Identifying the Bank Balance-Sheet Channel with Loan Applications. Web Appendix

Credit Supply and Monetary Policy: Identifying the Bank Balance-Sheet Channel with Loan Applications. Web Appendix Credit Supply and Monetary Policy: Identifying the Bank Balance-Sheet Channel with Loan Applications By GABRIEL JIMÉNEZ, STEVEN ONGENA, JOSÉ-LUIS PEYDRÓ, AND JESÚS SAURINA Web Appendix APPENDIX A -- NUMBER

More information

Relationships Among Wine Prices, Ratings, Advertising, and Production: Examining a Giffen Good

Relationships Among Wine Prices, Ratings, Advertising, and Production: Examining a Giffen Good Relationships Among Wine Prices, Ratings, Advertising, and Production: Examining a Giffen Good Carol Miu Massachusetts Institute of Technology Abstract It has become increasingly popular for statistics

More information

ONLINE APPENDIX APPENDIX A. DESCRIPTION OF U.S. NON-FARM PRIVATE SECTORS AND INDUSTRIES

ONLINE APPENDIX APPENDIX A. DESCRIPTION OF U.S. NON-FARM PRIVATE SECTORS AND INDUSTRIES ONLINE APPENDIX APPENDIX A. DESCRIPTION OF U.S. NON-FARM PRIVATE SECTORS AND INDUSTRIES 1997 NAICS Code Sector and Industry Title IT Intensity 1 IT Intensity 2 11 Agriculture, forestry, fishing, and hunting

More information

*p <.05. **p <.01. ***p <.001.

*p <.05. **p <.01. ***p <.001. Table 1 Weighted Descriptive Statistics and Zero-Order Correlations with Fatherhood Timing (N = 1114) Variables Mean SD Min Max Correlation Interaction time 280.70 225.47 0 1095 0.05 Interaction time with

More information

If spinning wheel has more than 7 segments, repeat any of the above categories again until all of the segments are filled.

If spinning wheel has more than 7 segments, repeat any of the above categories again until all of the segments are filled. Juice Board Week 0 Activity Description Juice Trivia Materials Week 0 display board Spinning wheel for activity Note: Label the segments of the spinning wheel using the following categories using a NON-permanent

More information

Modeling Wine Quality Using Classification and Regression. Mario Wijaya MGT 8803 November 28, 2017

Modeling Wine Quality Using Classification and Regression. Mario Wijaya MGT 8803 November 28, 2017 Modeling Wine Quality Using Classification and Mario Wijaya MGT 8803 November 28, 2017 Motivation 1 Quality How to assess it? What makes a good quality wine? Good or Bad Wine? Subjective? Wine taster Who

More information

Fairtrade Buying Behaviour: We Know What They Think, But Do We Know What They Do?

Fairtrade Buying Behaviour: We Know What They Think, But Do We Know What They Do? Fairtrade Buying Behaviour: We Know What They Think, But Do We Know What They Do? Dr. Fred A. Yamoah Prof. Andrew Fearne Dr. Rachel Duffy Dr. Dan Petrovici Background/Context The UK is a major market for

More information

What does radical price change and choice reveal?

What does radical price change and choice reveal? What does radical price change and choice reveal? A project by YarraValley Water and the Centre for Water Policy Management November 2016 CRICOS Provider 00115M latrobe.edu.au CRICOS Provider 00115M Objectives

More information

Update to A Comprehensive Look at the Empirical Performance of Equity Premium Prediction

Update to A Comprehensive Look at the Empirical Performance of Equity Premium Prediction Update to A Comprehensive Look at the Empirical Performance of Equity Premium Prediction Amit Goyal UNIL Ivo Welch UCLA September 17, 2014 Abstract This file contains updates, one correction, and links

More information

Regression Models for Saffron Yields in Iran

Regression Models for Saffron Yields in Iran Regression Models for Saffron ields in Iran Sanaeinejad, S.H., Hosseini, S.N 1 Faculty of Agriculture, Ferdowsi University of Mashhad, Iran sanaei_h@yahoo.co.uk, nasir_nbm@yahoo.com, Abstract: Saffron

More information

Valuing Health Risk Reductions from Air Quality Improvement: Evidence from a New Discrete Choice Experiment (DCE) in China

Valuing Health Risk Reductions from Air Quality Improvement: Evidence from a New Discrete Choice Experiment (DCE) in China Valuing Health Risk Reductions from Air Quality Improvement: Evidence from a New Discrete Choice Experiment (DCE) in China Yana Jin Peking University jin.yana@pku.edu.cn (Presenter, PhD obtained in 2017,

More information

The determinantsof charitable givingin Belgium

The determinantsof charitable givingin Belgium The determinantsof charitable givingin Belgium 4th EMES International Research Conferenceon Social Enterprises, Liège, Belgium Amélie Mernier, Frédéric Dufays, Catherine Dal Fior July 2, 2013 Centre for

More information

RELATIVE EFFICIENCY OF ESTIMATES BASED ON PERCENTAGES OF MISSINGNESS USING THREE IMPUTATION NUMBERS IN MULTIPLE IMPUTATION ANALYSIS ABSTRACT

RELATIVE EFFICIENCY OF ESTIMATES BASED ON PERCENTAGES OF MISSINGNESS USING THREE IMPUTATION NUMBERS IN MULTIPLE IMPUTATION ANALYSIS ABSTRACT RELATIVE EFFICIENCY OF ESTIMATES BASED ON PERCENTAGES OF MISSINGNESS USING THREE IMPUTATION NUMBERS IN MULTIPLE IMPUTATION ANALYSIS Nwakuya, M. T. (Ph.D) Department of Mathematics/Statistics University

More information

Relation between Grape Wine Quality and Related Physicochemical Indexes

Relation between Grape Wine Quality and Related Physicochemical Indexes Research Journal of Applied Sciences, Engineering and Technology 5(4): 557-5577, 013 ISSN: 040-7459; e-issn: 040-7467 Maxwell Scientific Organization, 013 Submitted: October 1, 01 Accepted: December 03,

More information

Perspective of the Labor Market for security guards in Israel in time of terror attacks

Perspective of the Labor Market for security guards in Israel in time of terror attacks Perspective of the Labor Market for security guards in Israel in time of terror attacks 2000-2004 By Alona Shemesh Central Bureau of Statistics, Israel March 2013, Brussels Number of terror attacks Number

More information

Report Brochure P O R T R A I T S U K REPORT PRICE: GBP 2,500 or 5 Report Credits* UK Portraits 2014

Report Brochure P O R T R A I T S U K REPORT PRICE: GBP 2,500 or 5 Report Credits* UK Portraits 2014 Report Brochure P O R T R A I T S U K 2 0 1 4 REPORT PRICE: GBP 2,500 or 5 Report Credits* Wine Intelligence 2013 1 Contents 1 MANAGEMENT SUMMARY >> An introduction to UK Portraits, including segment size,

More information

THE ECONOMIC IMPACT OF BEER TOURISM IN KENT COUNTY, MICHIGAN

THE ECONOMIC IMPACT OF BEER TOURISM IN KENT COUNTY, MICHIGAN THE ECONOMIC IMPACT OF BEER TOURISM IN KENT COUNTY, MICHIGAN Dan Giedeman, Ph.D., Paul Isely, Ph.D., and Gerry Simons, Ph.D. 10/8/2015 THE ECONOMIC IMPACT OF BEER TOURISM IN KENT COUNTY, MICHIGAN EXECUTIVE

More information

Hamburger Pork Chop Deli Ham Chicken Wing $6.46 $4.95 $4.03 $3.50 $1.83 $1.93 $1.71 $2.78

Hamburger Pork Chop Deli Ham Chicken Wing $6.46 $4.95 $4.03 $3.50 $1.83 $1.93 $1.71 $2.78 FooDS FOOD DEMAND SURVEY Volume 5, Issue 5 : September 19, 2017 About the Survey FooDS tracks consumer preferences and sentiments on the safety, quality, and price of food at home and away from home with

More information

Does a Nutritious Diet Cost More in Food Deserts? Linlin Fan* University of Illinois at Urbana-Champaign

Does a Nutritious Diet Cost More in Food Deserts? Linlin Fan* University of Illinois at Urbana-Champaign Does a Nutritious Diet Cost More in Food Deserts? Linlin Fan* University of Illinois at Urbana-Champaign E-mail: lfan3@illinois.edu Kathy Baylis University of Illinois at Urban-Champaign Craig Gundersen

More information

Preferred citation style

Preferred citation style Preferred citation style Axhausen, K.W. (2016) Singapore s travel demand management issues, presentation at CREATE/NUS/SUTD seminar on the Future of Science, Technology and Policy in Singapore, Singapore,

More information

Eestimated coefficient. t-value

Eestimated coefficient. t-value Table 1: Estimated wage curves for men, 1983 2009 Dependent variable: log (real wage rate) Dependent variable: log real wage rate Men 1983-2009 Men, 1983-2009 Rendom-effect Fixed-effect z-vae t-vae Men

More information

OFF-CAMPUS DINING PLAN OVERVIEW

OFF-CAMPUS DINING PLAN OVERVIEW 2017-18 OFF-CAMPUS DINING PLAN OVERVIEW We look forward to seeing you on campus in the fall! To help you learn about our plans and make the best decision for your tastes and preferences, we offer this

More information

November K. J. Martijn Cremers Lubomir P. Litov Simone M. Sepe

November K. J. Martijn Cremers Lubomir P. Litov Simone M. Sepe ONLINE APPENDIX TABLES OF STAGGERED BOARDS AND LONG-TERM FIRM VALUE, REVISITED November 016 K. J. Martijn Cremers Lubomir P. Litov Simone M. Sepe The paper itself is available at https://papers.ssrn.com/sol3/papers.cfm?abstract-id=364165.

More information

Mexico Milk Cow Numbers and Milk Production per Cow,

Mexico Milk Cow Numbers and Milk Production per Cow, TABLE OF CONTENTS 1. Mexico 1.1. Mexico Milk Market Introduction 1.1.1. Dairy Market Structure and Supply Chain in Mexico 1.1.2. Mexico Cow Milk Market Production and Fluid Milk Consumption by Volume,

More information

The Vietnam urban food consumption and expenditure study

The Vietnam urban food consumption and expenditure study The Centre for Global Food and Resources The Vietnam urban food consumption and expenditure study Factsheet 4: Where do consumers shop? Wet markets still dominate! The food retail landscape in urban Vietnam

More information

Measuring the impacts of conservation tillage on household income and consumption: A Syrian case

Measuring the impacts of conservation tillage on household income and consumption: A Syrian case Measuring the impacts of conservation tillage on household income and consumption: A Syrian case Tamer El-Shater 1, Yigezu A. Yigezu 1*, Amin Mugera 2, Colin Piggin 1, Atef Haddad 1, Yaseen Khalil 1, Stephen

More information

Migration, networks and labor allocation in rural China

Migration, networks and labor allocation in rural China Migration, networks and labor allocation in rural China Sylvie Démurger Université de Lyon, Lyon, F-69003, France CNRS, GATE Lyon St Etienne, 93 Chemin des Mouilles, Ecully, F-69130, France E-mail: demurger@gate.cnrs.fr

More information

Handling Missing Data. Ashley Parker EDU 7312

Handling Missing Data. Ashley Parker EDU 7312 Handling Missing Data Ashley Parker EDU 7312 Presentation Outline Types of Missing Data Treatments for Handling Missing Data Deletion Techniques Listwise Deletion Pairwise Deletion Single Imputation Techniques

More information